Flusion: Integrating multiple data sources for accurate influenza predictions by Evan L. Ray, Yijin Wang, Russell D. Wolfinger, Nicholas G. Reich

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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

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Fatigue Failure Analysis and Life Prediction of Elliptical Flexible Hinge by Jianjun Wu, Yian Jia, Jihui Luo

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Research on the Prediction of Pipelines Corrosion Rate Based on GA-LSSVM by CHEN Yong-hong, SU Yong-sheng, HU Ping

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Prediction of Reservoir Bank Collapse Based on the Limit Equilibrium Theory by Xuetong Ma, Qipeng Li, Hao Zhang, Debin Gao, Jiao Long, Zhengzheng Li

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Coordinated management of electricity storages and distributed generation plant with predictive controllers in a power supply system with reduced electricity quality by Yu. N. Bulatov, A. N. Kryukov, K. V. Suslov, V. V. Kizhin

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Research and predictive analysis of pyrolysis characteristics of multi-source organic solid wastes by ZHANG Zihang, XING Bo, MA Zhongqing, HU Yanjun, ZHANG Zhixiao, YUAN Shizhen, LU Rufei, CHEN Yingquan, WANG Shurong*

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Data-Driven Digital Twin Framework for Predictive Maintenance of Smart Manufacturing Systems by Tarana Khan, Urfi Khan, Adnan Khan, Calahan Mollan, Inga Morkvenaite-Vilkonciene, Vijitashwa Pandey

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Pre-Routing Slack Prediction Based on Graph Attention Network by Jinke Li, Jiahui Hu, Yue Wu, Xiaoyan Yang

“…To address this issue, this paper proposes a timing engine based on Graph Attention Network (GAT) to predict the slack of timing endpoints. Firstly, our model computes net embeddings for each node prior to training using a gated self-attention module. …”
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The Presence of Ascites Affects the Predictive Value of HVPG on Early Rebleeding in Patients with Cirrhosis by Chuan Liu, Ruoyang Shao, Sining Wang, Guangchuan Wang, Lifen Wang, Mingyan Zhang, Yanna Liu, Mingkai Liang, Xiaoguo Li, Ning Kang, Jitao Wang, Dan Xu, Hua Mao, Chunqing Zhang, Xiaolong Qi

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Prediction for Various Drought Classes Using Spatiotemporal Categorical Sequences by Rizwan Niaz, Mohammed M. A. Almazah, Xiang Zhang, Ijaz Hussain, Muhammad Faisal

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Spatio-temporal prediction of terrorist attacks based on GCN-LSTM by Yingjie Du, Ning Ding, Hongyu Lv

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Load prediction based elastic resource scheduling strategy in Flink by Ziyang LI, Jiong YU, Yuefei WANG, Chen BIAN, Yonglin PU, Yitian ZHANG, Yu LIU

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PREDICTION OF LOAD LIMIT OF BI-MODULUS COMPOSITES LAMINATED STRUCTURE by HUANG ZheFeng, LI Li, YANG ZengQin, SHANG FuLin, HOU DeMen

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Stock Price Prediction Based on Natural Language Processing1 by Xiaobin Tang, Nuo Lei, Manru Dong, Dan Ma

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Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency by Leszek Sliwko

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Development and validation of a predictive score for chemoresistance in high-grade osteosarcoma at baseline by Thanat Kanthawang, Nuttaya Pattamapaspong, Jongkolnee Settakorn, Pattira Boonsri, Pimpisa Teeyakasem, Pimpisa Teeyakasem, Phichayut Phinyo, Phichayut Phinyo, Dumnoensun Pruksakorn, Dumnoensun Pruksakorn

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Development and validation of a nomogram to predict intracranial haemorrhage in neonates by Shuming Xu, Siqi Zhang, Qing Hou, Lijuan Wei, Biao Wang, Juan Bai, Hanzhou Guan, Yong Zhang, Zhiqiang Li

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Prediction of Aerosol Particle Size Distribution Based on Neural Network by Yali Ren, Jiandong Mao, Hu Zhao, Chunyan Zhou, Xin Gong, Zhimin Rao, Qiang Wang, Yi Zhang

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Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

“…Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning (ML) that can evaluate the risk of lung metastasis with newly diagnosed colorectal cancer (CRC) using Shapley Additive exPlanations (SHAP). …”
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